The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Attention activates winner-take-all competition among visual filters
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Citations
Cites
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“, specifically, the normalization of individual filter responses relative to the total response of the local filter population ('divisive inhibition”
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Cited by
Computational modelling of visual attention
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Neural correlations, population coding and computation
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Attentional modulation of visual processing
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Feature-Based Attention Increases the Selectivity of Population Responses in Primate Visual Cortex
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The Temporal Correlation Hypothesis of Visual Feature Integration
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Next-generation synthetic gene networks
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Search Goal Tunes Visual Features Optimally
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Self-citationDissociable prior influences of signal probability and relevance on visual contrast sensitivity
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Attentional Enhancement via Selection and Pooling of Early Sensory Responses in Human Visual Cortex
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Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control
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A model of co-saliency based audio attention
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Metadata
- Authors
- Lee, D. K., Itti, L., Koch, C., & Braun, J.
- Venue
- Nature Neuroscience
- Published
- 1999-04
- Volume
- 2
- Issue
- 4
- Pages
- 375-381
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- DOI
- 10.1038/7286
- OpenAlex
- W1533198222
- Cited by
- 457
- References
- 7
- FWCI
- 11.41
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
